Analytics Engineer

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What Vercel is looking for in applicants

About Vercel:

At Vercel, we are building an open-source developer tools platform that enables developers to build and iterate on the web without sinking time and money into DevOps. We are a remote-first and globally distributed team, and we want to shape the future of the web by making cloud computing accessible to everyone. Our philosophy is based on the principles of learning, collaboration, transparency, experimentation, and passion.

  • We are goal-driven and dedicated
  • We use our own tools every day
  • We thrive together with our community
  • We are customer-obsessed
  • We believe in people's ability to grow


About the Team:

The Data Team at Vercel works with the VP of Data who sits on Vercel’s Leadership Team. Our tight-knit team is internationally distributed from different backgrounds in and out of the data world. We try to be intentional and clear in our work. Examples of this include a Request For Comments (FRC) process, virtual off-sites to reflect on and plan our work, and a bi-weekly company newsletter. In our first 90 days, our Data Engineers have already rolled out an outstanding data warehouse using modern tools.


What You Will Do:

As an Analytics Engineer your job is to design and build usable and well-documented data models for company-wide use. You are the bridge between the raw data our Data Engineering pulls in from across the company and our analytical stakeholders. You will need to become knowledgeable in both our upstream data sources and the business context that your stakeholders operate in. Strong working relationships will be key to your success. Your day-to-day will focus on iteratively delivering data sources that stakeholders can understand and ultimately self-service.


About You:

  • Outstanding SQL skills
  • Experience creating data products within a data warehouse environment; preferably with dbt and Snowflake
  • Comfortable working from the command line and with git
  • Familiar with a modern SQL-based BI tool, especially Superset
  • Experience working with a range of data sources and stakeholders from operational and product teams
  • Outstanding written and communication skills
  • Additional experience in Engineering, Analytics, or Data Science is a plus.
  • Kind, positive, and generally passionate about data and Vercel!



  • Working with stakeholders to fully understand data long-term data requirements for model development
  • Working with Data Engineering, Engineering, and operational partners to understand upstream data sources and limitations, and maintain an overall position of strong data governance
  • Use dbt to iteratively deliver usable data models using that enable analyst workflows
  • Documenting production data models with an eye towards self-service work flows
  • Training stakeholders to be more proficient and independent in our BI tool and in SQL



  • Competitive compensation and stock options
  • Inclusive Healthcare Package
  • Flexible working style - 100% remote, with teammates located throughout the globe
  • Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
  • Unlimited PTO. We recommended taking at least 4-weeks per year. Take time when you need it.
  • We will provide you with the gear you need to do your role, and a WFH budget for you to outfit your space as needed.


Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Want some tips on how to get an interview at Vercel?

What is Vercel looking for?
If this role looks interesting to you, a great first step is to understand what excites you about the team, product or mission. Take your time thinking about this and then tell the team! Get in touch and communicate that passion.
What are interviews for Analytics Engineer like?
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How to land an interview at Analytics Engineer ?
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